KOLsRadar

The KOLsRadar enables ARO to monitor and analyze discussions from key opinion leaders (KOLs) across platforms such as Twitter (X) and Telegram. By tracking sentiment, engagement, and trending topics, this tool provides structured insights into emerging narratives and their potential market impact.

Key Features

• Influencer Activity Tracking – Monitors tweets, discussions, and group messages from analysts, investors, and project leaders.

• Sentiment Analysis – Uses NLP models to classify market sentiment as positive, negative, or neutral.

• Trend Identification – Detects frequently mentioned assets, themes, and narratives shaping market dynamics.

• Engagement Metrics – Analyzes responses, interactions, and virality to assess influence.

• Historical Data Retention – Archives influencer discussions for trend analysis over time.

Technical Implementation

• API & Web Scraping – Extracts structured data from social media and community platforms.

• Natural Language Processing (NLP) – Evaluates sentiment, context, and topic relevance.

• Real-Time Monitoring & Alerts – Notifies users of significant shifts in discussions.

• Data Aggregation & Visualization – Structures insights into actionable reports.

Future Developments

• Influencer Categorization – Distinguishing between traders, analysts, developers, and investors.